Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Wind and Structures Volume 19, Number 3, September 2014 , pages 321-337 DOI: https://doi.org/10.12989/was.2014.19.3.321 |
|
|
|
Enhanced remote-sensing scale for wind damage assessment |
||
Jianjun Luo, Daan Liang, Cagdas Kafali, Ruilong Li and Tanya M. Brown
|
||
| Abstract | ||
| This study has developed an Enhanced Remote-Sensing (ERS) scale to improve the accuracy and efficiency of using remote-sensing images of residential building to predict their damage conditions. The new scale, by incorporating multiple damage states observable on remote-sensing imagery, substantially reduces measurement errors and increases the amount of information retained. A ground damage survey was conducted six days after the Joplin EF 5 tornado in 2011. A total of 1,400 one- and two-family residences (FR12) were selected and their damage states were evaluated based on Degree of Damage (DOD) in the Enhanced Fujita (EF) scale. A subsequent remote-sensing survey was performed to rate damages with the ERS scale using high-resolution aerial imagery. Results from Ordinary Least Square regression indicate that ERS-derived damage states could reliably predict the ground level damage with 94% of variance in DOD explained by ERS. The superior performance is mainly because ERS extracts more information. The regression model developed can be used for future rapid assessment of tornado damages. In addition, this study provides strong empirical evidence for the effectiveness of the ERS scale and remote-sensing technology for assessment of damages from tornadoes and other wind events. | ||
| Key Words | ||
| tornadoes; damage assessment; remote-sensing; enhanced remote-sensing scale; Enhanced Fujita scale; degree of damage | ||
| Address | ||
| Jianjun Luo:National Wind Institute, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA; AIR Worldwide, 131 Dartmouth Street, Boston, MA 02116, USA Daan Liang: National Wind Institute, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA Cagdas Kafali and Ruilong Li: AIR Worldwide, 131 Dartmouth Street, Boston, MA 02116, USA Tanya M. Brown: Insurance Institute for Business and Home Safety, 5335 Richburg Road, Richburg, SC 29729, USA | ||